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Activation detection in event-related FMRI through clustering of wavelet distributions

Geert Verdoolaege UGent and Yves Rosseel UGent (2010) IEEE International Conference on Image Processing ICIP. In IEEE International Conference on Image Processing ICIP p.4393-4396
abstract
We propose a new method for the detection of activated voxels in event-related BOLD fMRI data. We model the statistics of the wavelet histograms derived from each voxel time series independently through a generalized Gaussian distribution (GGD). We perform k-means clustering of the GGDs characterizing the voxel data in a synthetic data set, using the symmetrized Kullback-Leibler divergence (KLD) as a similarity measure. We compare our technique with GLM modeling and with another clustering method for activation detection that directly uses the wavelet coefficients as features. Our method is shown to be considerably more stable against realistic hemodynamic variability.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
k-means clustering, fMRI, generalized Gaussian distribution, Kullback-Leibler divergence
in
IEEE International Conference on Image Processing ICIP
series title
IEEE International Conference on Image Processing ICIP
issue title
2010 IEEE international conference on image processing
pages
4393 - 4396
publisher
IEEE
place of publication
New York, NY, USA
conference name
IEEE International conference on Image Processing
conference location
Hong Kong, PR China
conference start
2010-09-26
conference end
2010-09-29
Web of Science type
Proceedings Paper
Web of Science id
000287728004109
ISSN
1522-4880
ISBN
9781424479948
DOI
10.1109/ICIP.2010.5653367
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1234913
handle
http://hdl.handle.net/1854/LU-1234913
date created
2011-05-24 18:43:23
date last changed
2017-01-02 09:52:34
@inproceedings{1234913,
  abstract     = {We propose a new method for the detection of activated voxels in event-related BOLD fMRI data. We model the statistics of the wavelet histograms derived from each voxel time series independently through a generalized Gaussian distribution (GGD). We perform k-means clustering of the GGDs characterizing the voxel data in a synthetic data set, using the symmetrized Kullback-Leibler divergence (KLD) as a similarity measure. We compare our technique with GLM modeling and with another clustering method for activation detection that directly uses the wavelet coefficients as features. Our method is shown to be considerably more stable against realistic hemodynamic variability.},
  author       = {Verdoolaege, Geert and Rosseel, Yves},
  booktitle    = {IEEE International Conference on Image Processing ICIP},
  isbn         = {9781424479948},
  issn         = {1522-4880},
  keyword      = {k-means clustering,fMRI,generalized Gaussian distribution,Kullback-Leibler divergence},
  language     = {eng},
  location     = {Hong Kong, PR China},
  pages        = {4393--4396},
  publisher    = {IEEE},
  title        = {Activation detection in event-related FMRI through clustering of wavelet distributions},
  url          = {http://dx.doi.org/10.1109/ICIP.2010.5653367},
  year         = {2010},
}

Chicago
Verdoolaege, Geert, and Yves Rosseel. 2010. “Activation Detection in Event-related FMRI Through Clustering of Wavelet Distributions.” In IEEE International Conference on Image Processing ICIP, 4393–4396. New York, NY, USA: IEEE.
APA
Verdoolaege, Geert, & Rosseel, Y. (2010). Activation detection in event-related FMRI through clustering of wavelet distributions. IEEE International Conference on Image Processing ICIP (pp. 4393–4396). Presented at the IEEE International conference on Image Processing, New York, NY, USA: IEEE.
Vancouver
1.
Verdoolaege G, Rosseel Y. Activation detection in event-related FMRI through clustering of wavelet distributions. IEEE International Conference on Image Processing ICIP. New York, NY, USA: IEEE; 2010. p. 4393–6.
MLA
Verdoolaege, Geert, and Yves Rosseel. “Activation Detection in Event-related FMRI Through Clustering of Wavelet Distributions.” IEEE International Conference on Image Processing ICIP. New York, NY, USA: IEEE, 2010. 4393–4396. Print.